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Edge-YOLO: Lightweight Infrared Object Detection Method Deployed on Edge Devices

Edge-YOLO: Lightweight Infrared Object Detection Method Deployed on Edge Devices

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_46b412cf68f743ae814c288d24a14a73

Edge-YOLO: Lightweight Infrared Object Detection Method Deployed on Edge Devices

About this item

Full title

Edge-YOLO: Lightweight Infrared Object Detection Method Deployed on Edge Devices

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2023-04, Vol.13 (7), p.4402

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Existing target detection algorithms for infrared road scenes are often computationally intensive and require large models, which makes them unsuitable for deployment on edge devices. In this paper, we propose a lightweight infrared target detection method, called Edge-YOLO, to address these challenges. Our approach replaces the backbone network of...

Alternative Titles

Full title

Edge-YOLO: Lightweight Infrared Object Detection Method Deployed on Edge Devices

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_46b412cf68f743ae814c288d24a14a73

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_46b412cf68f743ae814c288d24a14a73

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app13074402

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